Evidence map›Paper›PMID 34348695›Full record

ArticleBMC public health2021

Co-distribution of Light At Night (LAN) and COVID-19 incidence in the United States.

Yidan Meng, Vincent Zhu, Yong Zhu

Abstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Associations between nighttime light and COVID-19 incidence and mortality in the United States.International journal of applied earth observation and geoinformation : ITC journal · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yidan MengDepartment of Environmental Health Sciences, Yale University School of Public Health, New Haven, CT, 06520, USA.
Vincent ZhuDepartment of Environmental Health Sciences, Yale University School of Public Health, New Haven, CT, 06520, USA.
Yong ZhuDepartment of Environmental Health Sciences, Yale University School of Public Health, New Haven, CT, 06520, USA. yong.zhu@yale.edu.ORCID 0000-0002-6957-1114

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLight at night (LAN) as a circadian disruption factor may affect the human immune system and consequently increase an individual's susceptibility to the severity of infectious diseases, such as COVID-19. COVID-19 infections spread differently in each state in the United States (US). The current analysis aimed to test whether there is an association between LAN and COVID-19 cases in 4 selected US states: Connecticut, New York, California, and Texas.

methodsWe analyzed clustering patterns of COVID-19 cases in ArcMap and performed a multiple linear regression model using data of LAN and COVID-19 incidence with adjustment for confounding variables including population density, percent below poverty, and racial factors.

resultsHotspots of LAN and COVID-19 cases are located in large cities or metro-centers for all 4 states. LAN intensity is associated with cases/1 k for overall and lockdown durations in New York and Connecticut (P < 0.001), but not in Texas and California. The overall case rates are significantly associated with LAN in New York (P < 0.001) and Connecticut (P < 0.001).

conclusionsWe observed a significant positive correlation between LAN intensity and COVID-19 cases-rate/1 k, suggesting that circadian disruption of ambient light may increase the COVID-19 infection rate possibly by affecting an individual's immune functions. Furthermore, differences in the demographic structure and lockdown policies in different states play an important role in COVID-19 infections.

Indexed as

COVID-19Circadian RhythmCommunicable Disease ControlConnecticutHumansIncidenceSARS-CoV-2United StatesCOVID-19Light at night (LAN)

Identifiers

PMID34348695
PMCPMC8335974

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.